{"id":"W2026692052","doi":"10.1016/j.biomaterials.2015.03.027","title":"Novel micropatterns mechanically control fibrotic reactions at the surface of silicone implants","year":2015,"lang":"en","type":"article","venue":"Biomaterials","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Gebert Rüf Stiftung; Canadian Institutes of Health Research; Competence Centre for Materials Science and Technology; Kommission für Technologie und Innovation; École Polytechnique Fédérale de Lausanne","keywords":"Silicone; Materials science; Micropatterning; Extracellular matrix; Implant; Biomedical engineering; Cell adhesion; Surface modification; Adhesion; Nanotechnology; Medicine; Cell biology; Chemistry; Surgery; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002245831,0.0002182764,0.000186271,0.0001913056,0.0001617923,0.0003492511,0.0002514532,0.0004020168,0.001054825],"category_scores_gemma":[0.000287534,0.0002086235,0.0001985992,0.00009990993,0.0002605695,0.0005274588,0.0001984538,0.0004048412,0.0002630206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000251096,"about_ca_system_score_gemma":0.00009735871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001123951,"about_ca_topic_score_gemma":0.0002986339,"domain_scores_codex":[0.9998804,0.00001081373,0.00001123449,0.00002858068,0.00003582353,0.00003302479],"domain_scores_gemma":[0.9997774,0.00006984097,0.00008753991,0.00002177904,0.00002207504,0.00002135142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002720075,0.00001201436,0.0000514276,0.00001665386,0.000001672982,0.00001371054,0.00001226022,0.00009606035,0.9983156,0.0001090439,0.00002075382,0.001323506],"study_design_scores_gemma":[0.000008418782,0.0000709317,0.0009934681,0.000004509844,0.00000753114,0.00004400711,0.00001291064,0.001682063,0.9961517,0.00004522811,0.0009737386,0.000005424788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845057,0.001564385,0.01235098,0.0001106017,0.00009180417,0.00003205669,0.00007173579,0.0001255991,0.001147247],"genre_scores_gemma":[0.991059,0.0005401292,0.006580955,0.0001002762,0.00003406395,0.0000318598,0.00006406578,0.00004330367,0.001546365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001054825,"threshold_uncertainty_score":0.003528714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610679120014272,"score_gpt":0.2637455046894378,"score_spread":0.2376387134892951,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}